Agent skill
dialogue-graph
A library for building, validating, visualizing, and serializing dialogue graphs. Use this when parsing scripts or creating branching narrative structures.
Install this agent skill to your Project
npx add-skill https://github.com/benchflow-ai/skillsbench/tree/main/tasks/dialogue-parser/environment/skills/dialogue_graph
SKILL.md
Dialogue Graph Skill
This skill provides a dialogue_graph module to easily build valid dialogue trees/graphs.
When to use
- Script Parsers: When converting text to data.
- Dialogue Editors: When building tools to edit conversation flow.
- Game Logic: When traversing a dialogue tree.
- Visualization: When generating visual diagrams of dialogue flows.
How to use
Import the module:
from dialogue_graph import Graph, Node, Edge
1. The Graph Class
The main container.
graph = Graph()
2. Adding Nodes
Define content nodes.
# Regular line
graph.add_node(Node(id="Start", speaker="Guard", text="Halt!", type="line"))
# Choice hub
graph.add_node(Node(id="Choices", type="choice"))
3. Adding Edges
Connect nodes (transitions).
# Simple transition
graph.add_edge(Edge(source="Start", target="Choices"))
# Choice transition (with text)
graph.add_edge(Edge(source="Choices", target="End", text="1. Run away"))
4. Export
Serialize to JSON format for the engine.
data = graph.to_dict()
# returns {"nodes": [...], "edges": [...]}
json_str = graph.to_json()
5. Validation
Check for integrity.
errors = graph.validate()
# Returns list of strings, e.g., ["Edge 'Start'->'Unk' points to missing node 'Unk'"]
6. Visualization
Generate a PNG/SVG graph diagram.
# Requires: pip install graphviz
# Also requires Graphviz binary: https://graphviz.org/download/
graph.visualize('dialogue_graph') # Creates dialogue_graph.png
graph.visualize('output', format='svg') # Creates output.svg
The visualization includes:
- Diamond shapes for choice nodes (light blue)
- Rounded boxes for dialogue nodes (colored by speaker)
- Bold blue edges for skill-check choices like
[Lie],[Attack] - Gray edges for regular choices
- Black edges for simple transitions
7. Loading from JSON
Load an existing dialogue graph.
# From file
graph = Graph.from_file('dialogue.json')
# From dict
graph = Graph.from_dict({'nodes': [...], 'edges': [...]})
# From JSON string
graph = Graph.from_json(json_string)
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